This is a critical review of artificial intelligence/machine learning (AI/ML) methods applied to
battery research. It aims at providing a comprehensive, authoritative, and critical, yet easily …

This paper provides a multi-disciplinary overview of the research issues and achievements
in the field of Big Data and its visualization techniques and tools. The main aim is to …

The research community has begun looking for IP traffic classification techniques that do not
rely onwell known'TCP or UDP port numbers, or interpreting the contents of packet …

The Semantic Web relies heavily on formal ontologies to structure data for comprehensive
and transportable machine understanding. Thus, the proliferation of ontologies factors …

Background: The COVID-19 pandemic has attracted the attention of researchers and
clinicians whom have provided evidence about risk factors and clinical outcomes. Research …

The Galois (or concept) lattice produced from a binary relation has proved useful for many
applications. Building the Galois lattice can be considered a conceptual clustering method …

Knowledge-discovery systems face challenging problems from real-world databases, which
tend to be dynamic, incomplete, redundant, noisy, sparse, and very large. These problems …

In many applications, data objects are described by both numeric and categorical features.
The k-prototype algorithm is one of the most important algorithms for clustering this type of …

We address the problem of predicting how people will spontaneously divide into groups a
set of novel items. This is a process akin to perceptual organization. We therefore employ …

Digitalization and the momentous role being assumed by data are commonly viewed as
pervasive phenomena whose impact is felt in all aspects of society and the economy …